940 resultados para Diagnostic radiology
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Introducción: La gran mayoría de las medidas de normalidad utilizadas para la interpretación de resonancia cardiaca son extrapoladas de las medidas de ecocardiografía. Los limitados registros de medidas de normalidad se encuentran ajustados en poblaciones extranjeras, no hay registros en latinoamericanos. Objetivo: Determinar las dimensiones cardiacas utilizando resonancia magnética en una población de personas sin antecedente médicos con repercusión cardiaca para lograr una muestra de valores que permitan ajustar las medidas de normalidad utilizadas por nuestro servicio. Materiales y métodos: se analizaron 45 sujetos sanos con edad comprendida entre los 21 y 45 años, las adquisiciones se realizaron utilizando un equipo de RM de 1,5 teslas, el análisis de las imágenes se realizó mediante el programa Cardiac Volume Vx. Se evaluaron múltiples parámetros morfofuncionales a través de análisis estadístico por medio del sistema SPSS versión 23. Resultados: Mediciones obtenidas de ventrículo izquierdo principales fueron volumen diastólico en mujeres de 62 ml +/- 7.1 y en hombres de 65 ml +/- 11.2 y fracción de eyección de 60 % +/- 5 en mujeres y de 62 % +/- 9 en hombres. En ventrículo derecho el volumen diastólico final se encontró 81.8 ml +/- 14.6 en mujeres y 100 ml +/- 24.8 en hombres y fracción de eyección de 53 % +/- 17 en mujeres y de 45 % +/- 12 en hombres. Volumen de fin de diástole de 50 +/- 12.7 ml en mujeres y de 49 ml +/- 19 ml en hombres y fracción de eyección de aurícula izquierda de 55 % +/- 0.08 en mujeres y de 50 % +/- 0.07 en hombres. Volumen de fin de diástole de 44.1 ml +/- 18.5 en mujeres y de 49.2 ml +/- 22.9 en hombres y fracción de eyección de aurícula derecha de 50 % +/- 11 en mujeres y de 45 % +/- 8 en hombres. Se obtuvieron otras medidas lineales y volumétricas adicionales de cavidades cardiacas y de grandes vasos supracardiacos. Conclusiones: se describen los valores de referencia de los parámetros morfofuncionales de las cavidades cardiacas y de vasos supracardiacos. El sexo fue tenido en cuenta como covariable relacionada con la modificación de los parámetros evaluados. Se sugieren variaciones en las medidas de cavidades cardiacas para la población estudiada relacionada con aclimatación crónica a la altitud de la ciudad de Bogotá.
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Desde un marco ecléctico sobre la evaluación psicopedagógica se revisan las investigaciones realizadas sobre el Keymath Diagnostic Arithmetic Test desde su construcción hasta la actualidad. Dichas investigaciones se han agrupado en cinco lineas: propiedades psicométricas para la evaluación del rendimiento, utilización en programas instruccionales, estudios con poblaciones especiales, estudios relacionados con el desarrollo cognitivo, y estudios sobre versiones revisadas.
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Resumen tomado de la publicación. Con el apoyo económico del departamento MIDE de la UNED
Diagnostic concordance of DSM-IV and DSM-5 Posttraumatic Stress Disorder (PTSD) in a clinical sample
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Resumen tomado de la publicaci??n
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Objectivos: Neste estudo retrospectivo pretendeu-se determinar o impacto da tomografia computorizada na sobrevivência pós-cirúrgica do cão com carcinoma espinocelular na cavidade oral, comparativamente à radiografia. Enfatizando desta forma, a sua importância no diagnóstico, no planeamento cirúrgico e prognóstico. O segundo objectivo consistiu em determinar as características tomográficas dos carcinomas espinocelulares da cavidade oral em cães. Material e Métodos: Foram analisados 7 canídeos com diagnóstico de carcinoma espinocelular. Os critérios de inclusão foram: cães com carcinoma espinocelular diagnosticado por biópsia, exame imagiológico complementar (radiografia simples ou tomografia computorizada), elegibilidade para cirurgia, execução de tratamento cirúrgico e acompanhamento pós-cirúrgico durante 2 anos. Foi registada a idade, o sexo, a raça, a localização anatómica, o estadiamento T e N, as características radiográficas e tomográficas dos tumores, o tempo de recorrência e por fim o tempo de sobrevivência global descrito nos registos consultados. Procedeu-se também ao registo das variáveis das imagens radiográficas e tomográficas obtidas: definição das margens neoplásicas, presença ou ausência de reacção perióstea e de destruição de osso cortical adjacente, presença de deslocação dentária e de reabsorção dentária e densidade óssea local. Resultados: Nenhum dos meios imagiológicos permitiu uma visualização bem definida das margens neoplásicas. A nível da destruição de osso cortical adjacente, foi visível em 66,67% dos casos avaliados com radiografia e em todos os casos que foram avaliados com tomografia computorizada (100%). Foi visível reacção perióstea em 33,33% dos canídeos avaliados por radiografia e em nenhum dos avaliados por tomografia (0%). A densidade óssea local estava diminuída em todos os casos avaliados por radiografia simples ou por tomografia. A nível de reabsorção dentária estava presente em 33,33% dos avaliados por radiografia e em 25% dos avaliados por tomografia. Foi possível visualizar deslocação dentária em 66,67% dos avaliados por radiografia e em todos os avaliados por tomografia (100%). A nível de percentagem de casos com recorrência local, nenhum caso avaliado com radiografia recorreu e apenas 1 caso avaliado por tomografia recorreu em 289 dias. O tempo médio de sobrevivência foi superior no grupo dos avaliados com radiografia (1091,7 dias) relativamente ao grupo avaliado por tomografia (404 dias). Ao fim de 2 anos, 66,67% dos casos avaliados por radiografia estavam vivos e somente 25% dos casos avaliados com tomografia sobreviveram. Discussão/conclusão: Não foi possível determinar o impacto real dos dois meios de diagnóstico no prognóstico pós-cirúrgico do carcinoma espinocelular oral no cão, devido à reduzida amostra e aos tumores com pior prognóstico (por localização e estadiamento) terem sido remetidos para tomografia.
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This paper examines two individually administered diagnostic reading tests, the Woodcock Reading Mastery Tests and the Diagnostic Reading Scales, to determine their value for use with hearing-impaired children.
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This paper reviews clinic diagnostic hearing evaluations.
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The interannual variability of the hydrological cycle is diagnosed from the Hadley Centre and Geophysical Fluid Dynamics Laboratory (GFDL) climate models, both of which are forced by observed sea surface temperatures. The models produce a similar sensitivity of clear-sky outgoing longwave radiation to surface temperature of ∼2 W m−2 K−1, indicating a consistent and positive clear-sky radiative feedback. However, differences between changes in the temperature lapse-rate and the height dependence of moisture fluctuations suggest that contrasting mechanisms bring about this result. The GFDL model appears to give a weaker water vapor feedback (i.e., changes in specific humidity). This is counteracted by a smaller upper tropospheric temperature response to surface warming, which implies a compensating positive lapse-rate feedback.
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The article considers screening human populations with two screening tests. If any of the two tests is positive, then full evaluation of the disease status is undertaken; however, if both diagnostic tests are negative, then disease status remains unknown. This procedure leads to a data constellation in which, for each disease status, the 2 × 2 table associated with the two diagnostic tests used in screening has exactly one empty, unknown cell. To estimate the unobserved cell counts, previous approaches assume independence of the two diagnostic tests and use specific models, including the special mixture model of Walter or unconstrained capture–recapture estimates. Often, as is also demonstrated in this article by means of a simple test, the independence of the two screening tests is not supported by the data. Two new estimators are suggested that allow associations of the screening test, although the form of association must be assumed to be homogeneous over disease status. These estimators are modifications of the simple capture–recapture estimator and easy to construct. The estimators are investigated for several screening studies with fully evaluated disease status in which the superior behavior of the new estimators compared to the previous conventional ones can be shown. Finally, the performance of the new estimators is compared with maximum likelihood estimators, which are more difficult to obtain in these models. The results indicate the loss of efficiency as minor.
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The paper considers meta-analysis of diagnostic studies that use a continuous score for classification of study participants into healthy or diseased groups. Classification is often done on the basis of a threshold or cut-off value, which might vary between studies. Consequently, conventional meta-analysis methodology focusing solely on separate analysis of sensitivity and specificity might be confounded by a potentially unknown variation of the cut-off value. To cope with this phenomena it is suggested to use, instead, an overall estimate of the misclassification error previously suggested and used as Youden’s index and; furthermore, it is argued that this index is less prone to between-study variation of cut-off values. A simple Mantel–Haenszel estimator as a summary measure of the overall misclassification error is suggested, which adjusts for a potential study effect. The measure of the misclassification error based on Youden’s index is advantageous in that it easily allows an extension to a likelihood approach, which is then able to cope with unobserved heterogeneity via a nonparametric mixture model. All methods are illustrated at hand of an example on a diagnostic meta-analysis on duplex doppler ultrasound, with angiography as the standard for stroke prevention.
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A modified chlorophyll fluorescence technique was evaluated as a rapid diagnostic test of the susceptibility of wheat cultivars to chlorotoluron. Two winter wheat cultivars (Maris Huntsman and Mercia) exhibited differential response to the herbicide. All of the parameters of chlorophyll fluorescence examined were strongly influenced by herbicide concentration. Additionally, the procedure adopted here for the examination of winter wheat cultivar sensitivity to herbicide indicated that the area above the fluorescence induction curve and the ratio F-V/F-M are appropriate chlorophyll fluorescence parameters for detection of differential herbicide response between wheat cultivars. The potential use of this technique as an alternative to traditional methods of screening new winter wheat cultivars for their response to photosynthetic inhibitor herbicide is demonstrated here.
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The influence matrix is used in ordinary least-squares applications for monitoring statistical multiple-regression analyses. Concepts related to the influence matrix provide diagnostics on the influence of individual data on the analysis - the analysis change that would occur by leaving one observation out, and the effective information content (degrees of freedom for signal) in any sub-set of the analysed data. In this paper, the corresponding concepts have been derived in the context of linear statistical data assimilation in numerical weather prediction. An approximate method to compute the diagonal elements of the influence matrix (the self-sensitivities) has been developed for a large-dimension variational data assimilation system (the four-dimensional variational system of the European Centre for Medium-Range Weather Forecasts). Results show that, in the boreal spring 2003 operational system, 15% of the global influence is due to the assimilated observations in any one analysis, and the complementary 85% is the influence of the prior (background) information, a short-range forecast containing information from earlier assimilated observations. About 25% of the observational information is currently provided by surface-based observing systems, and 75% by satellite systems. Low-influence data points usually occur in data-rich areas, while high-influence data points are in data-sparse areas or in dynamically active regions. Background-error correlations also play an important role: high correlation diminishes the observation influence and amplifies the importance of the surrounding real and pseudo observations (prior information in observation space). Incorrect specifications of background and observation-error covariance matrices can be identified, interpreted and better understood by the use of influence-matrix diagnostics for the variety of observation types and observed variables used in the data assimilation system. Copyright © 2004 Royal Meteorological Society